One document matched: draft-ietf-ipfix-mediators-problem-statement-03.txt
Differences from draft-ietf-ipfix-mediators-problem-statement-02.txt
IPFIX Working Group A. Kobayashi, Ed.
Internet-Draft NTT PF Lab.
Intended status: Informational B. Claise, Ed.
Expires: November 1, 2009 Cisco Systems, Inc.
April 30, 2009
IPFIX Mediation: Problem Statement
draft-ietf-ipfix-mediators-problem-statement-03
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Abstract
Flow-based measurement is a popular method for various network
monitoring usages. The sharing of flow-based information for
monitoring applications having different requirements raises some
open issues in terms of measurement system scalability, flow-based
measurement flexibility, and export reliability that IPFIX Mediation
may help resolve. IPFIX Mediation covers two classes of mediation:
context mediation for traffic data and transport mediation for
transport protocols. This document describes the IPFIX Mediation
applicability examples, along with some problems that network
administrators have been facing.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 5
2. Terminology and Definition . . . . . . . . . . . . . . . . . . 6
3. IPFIX/PSAMP Documents Overview . . . . . . . . . . . . . . . . 9
3.1. IPFIX Documents Overview . . . . . . . . . . . . . . . . . 9
3.2. PSAMP Documents Overview . . . . . . . . . . . . . . . . . 9
4. Problem Statement . . . . . . . . . . . . . . . . . . . . . . 10
4.1. Coping with IP Traffic Growth . . . . . . . . . . . . . . 10
4.2. Coping with Multipurpose Traffic Measurement . . . . . . . 11
4.3. Coping with Heterogeneous Environments . . . . . . . . . . 11
4.4. Summary . . . . . . . . . . . . . . . . . . . . . . . . . 11
5. Mediation Applicability Examples . . . . . . . . . . . . . . . 12
5.1. Adjusting Flow Granularity . . . . . . . . . . . . . . . . 12
5.2. Hierarchical Collecting Infrastructure . . . . . . . . . . 12
5.3. Correlation for Data Records . . . . . . . . . . . . . . . 13
5.4. Time Composition . . . . . . . . . . . . . . . . . . . . . 13
5.5. Spatial Composition . . . . . . . . . . . . . . . . . . . 14
5.6. Data Record Anonymization . . . . . . . . . . . . . . . . 15
5.7. Data Retention . . . . . . . . . . . . . . . . . . . . . . 15
5.8. IPFIX Export from a Branch Office . . . . . . . . . . . . 16
5.9. Distributing Data Records . . . . . . . . . . . . . . . . 17
5.10. Flow-based Sampling and Selection . . . . . . . . . . . . 18
5.11. Interoperability between Legacy Protocols and IPFIX . . . 19
6. IPFIX Mediators Implementation Specific Problems . . . . . . . 20
6.1. Loss of Original Exporter Information . . . . . . . . . . 20
6.2. Loss of Base Time Information . . . . . . . . . . . . . . 20
6.3. Transport Sessions Management . . . . . . . . . . . . . . 21
6.4. Loss of Option Template Information . . . . . . . . . . . 21
6.5. Template ID Management . . . . . . . . . . . . . . . . . . 21
6.6. Consideration for Network Topology . . . . . . . . . . . . 22
6.7. Exporting the Function Item . . . . . . . . . . . . . . . 22
6.8. Consideration for Aggregation . . . . . . . . . . . . . . 23
7. Summary and Conclusion . . . . . . . . . . . . . . . . . . . . 24
8. Security Considerations . . . . . . . . . . . . . . . . . . . 26
9. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 27
10. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . 28
11. References . . . . . . . . . . . . . . . . . . . . . . . . . . 29
11.1. Normative References . . . . . . . . . . . . . . . . . . . 29
11.2. Informative References . . . . . . . . . . . . . . . . . . 29
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . 31
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1. Introduction
While the IPFIX requirements defined in [RFC3917] mention an
intermediate function, such as an IPFIX Proxy or an IPFIX
Concentrator, there are no documents defining the function called
IPFIX Mediation. IPFIX Mediation is a generic function that covers
the manipulation of IPFIX Flow Records, PSAMP Packet Reports, entire
IPFIX Messages, or their transmission. This document describes
general problems, applicability examples, and defines the terminology
(IPFIX Proxy, Concentrator, etc.) for referring to different use
cases for IPFIX Mediation. Furthermore, some specific problems
related to the IPFIX protocol [RFC5101] when applying IPFIX Mediation
are addressed.
This document is structured as follows: section 2 describes the
terminology used in this document, section 3 gives an IPFIX/PSAMP
document overview, section 4 introduces general problems related to
flow-based measurement, section 5 describes some applicability
examples where IPFIX Mediations would be beneficial, and, finally,
section 6 describes some problems an IPFIX Mediation implementation
might face.
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2. Terminology and Definition
The terms in this section are in line with those in the IPFIX
Protocol specifications [RFC5101] and the PSAMP specification
document [RFC5476]. The terms Observation Point, Observation Domain,
Flow Key, Flow Record, Data Record, Exporting Process, Exporter,
IPFIX Device, Collecting Process, Collector, IPFIX Message, Metering
Process, Transport Session, Information Element, and Template
Withdrawal Message, are defined in the IPFIX protocol specifications
[RFC5101]. The terms Packet Report, Sampling, Filtering, PSAMP
Device, and Configured Selection Fraction are defined in the PSAMP
specification document [RFC5476]. Furthermore, new terminology to be
used in the context of IPFIX Mediation is defined in this section.
All these terms have an initial capital letter in this document.
While IPFIX Mediation can process both Flow Records and Packet
Reports, this document prefers the more generic "Data Record" term as
this is a more generic term, unless the reference to the IPFIX Flow
Record or PSAMP Packet Report is required.
IPFIX Mediation
IPFIX Mediation is a generic function that covers the manipulation
of IPFIX Flow Records, PSAMP Packet Reports, or entire IPFIX
Messages, or their transmission. The IPFIX Mediation offers one
or multiple of the following capabilities:
* content mediation that changes Flow Records/Packet Reports
information
+ aggregating Flow Records/Packet Reports based on a new set
of Flow Key fields
+ correlating a set of Flow Records/Packet Reports
+ filtering and selecting Flow Records/Packet Reports
+ modifying Flow Records/Packet Reports, including:
- changing the value of specified Information Elements
- adding new Information Elements by deriving further Flow
or packet properties from existing fields (for example:
calculating new metrics or new counters)
- deleting specified Information Elements
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* transport mediation
+ changing the transport protocol that carries IPFIX Messages
+ rerouting entire IPFIX Messages to an appropriate Collecting
Process
+ replicating Flow Records/Packet Reports (or the entire IPFIX
Messages)
IPFIX Mediator
An IPFIX Mediator is an IPFIX Device that implements one or more
IPFIX Mediation capabilities. Examples are devices such as
routers, switches, network management systems (NMS), etc.
Original Exporter
An Original Exporter is an IPFIX Device that hosts the Observation
Points where the metered IP packets are observed.
IPFIX Proxy
An IPFIX Proxy is a type of IPFIX Mediation that relays incoming
Transport Sessions to one or multiple Collectors. The protocols
used at the input and the output can be different, which implies
that IPFIX Messages, Data Records, and Template Records need to be
encoded, e.g., for converting from a legacy protocol to IPFIX. An
IPFIX Proxy is not implemented on the Original Exporter, but as a
separate Mediator.
IPFIX Concentrator
An IPFIX Concentrator is a type of IPFIX Mediation that receives
Flow Records/Packet Reports, correlates them, aggregates them, or
modifies them, then exports the new Data Records.
IPFIX Distributor
An IPFIX Distributor is a type of IPFIX Mediation that distributes
Data Records to one or multiple IPFIX Collectors. The decision as
to which IPFIX Collector a Data Record is exported can be
determined by filtering certain field values or other properties
derived from the Data Record.
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IPFIX Masquerading Proxy
An IPFIX Masquerading Proxy is a type of IPFIX Mediation that
screens out parts of input Flow Records/Packet Reports according
to configured policies. It can thus, for example, hide the
network topology information or customers' IP addresses.
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3. IPFIX/PSAMP Documents Overview
3.1. IPFIX Documents Overview
The IPFIX protocol [RFC5101] provides network administrators with
access to IP flow information. The architecture for the export of
measured IP flow information out of an IPFIX Exporting Process to a
Collecting Process is defined in [RFC5470], per the requirements
defined in [RFC3917]. The IPFIX protocol [RFC5101] specifies how
IPFIX Data Records and Templates are carried via a number of
transport protocols from IPFIX Exporting Processes to IPFIX
Collecting Processes. IPFIX has a formal description of IPFIX
Information Elements, their names, types, and additional semantic
information, as specified in [RFC5102]. [I-D.ietf-ipfix-mib]
specifies the IPFIX Management Information Base. Finally, [RFC5472]
describes what types of applications can use the IPFIX protocol and
how they can use the information provided. It furthermore shows how
the IPFIX framework relates to other architectures and frameworks.
The storage of IPFIX Messages in a file is specified in
[I-D.ietf-ipfix-file].
3.2. PSAMP Documents Overview
The framework for packet selection and reporting [RFC5474] enables
network elements to select subsets of packets by statistical and
other methods and to export a stream of reports on the selected
packets to a Collector. The set of packet selection techniques
(Sampling, Filtering, and Hashing) standardized by PSAMP are
described in [RFC5475]. The PSAMP protocol [RFC5476] specifies the
export of packet information from a PSAMP Exporting Process to a
Collector. Like IPFIX, PSAMP has a formal description of its
Information Elements, their names, types and additional semantic
information. The PSAMP information model is defined in [RFC5477].
[I-D.ietf-psamp-mib] describes the PSAMP Management Information Base.
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4. Problem Statement
Network administrators generally face the problems of measurement
system scalability, flow-based measurement flexibility, and export
reliability, even if some techniques, such as Sampling, Filtering,
Data Records aggregation and export replication, have already been
developed. The problems consist of optimizing the resources of the
measurement system while pursuing appropriate conditions: data
accuracy, flow granularity, and export reliability. These conditions
depend on two factors.
o measurement systems capacity:
This consists of the bandwidth of the management network, the
storage capacity, and the performances of the collecting devices
and exporting devices.
o applications requirements:
Different applications, such as traffic engineering, detecting
anomaly traffic, and accounting, etc., impose different Flow
Record granularity, and data accuracy.
The recent continued IP traffic growth has been overwhelming the
measurement system capacity, and multi-purposing applications, along
with the heterogeneous environments, have further been contributing
to a complex situation. The following sub-sections explain different
problems in more details.
4.1. Coping with IP Traffic Growth
Enterprise or service provider networks already have multiple 10 Gb/s
links, their total traffic exceeding 100 Gb/s. In the near future,
broadband users' traffic will increase by approximately 40% every
year according to [TRAFGRW]. When operators monitor traffic of 500
Gb/s with a Sampling rate of 1/1000, the amount of exported Flow
Records from Exporters could exceed 50 kFlows/s. This value is
beyond the ability of a single Collector.
To deal with this problem, current data reduction techniques, such as
Sampling, Filtering, Data Records aggregation have been generally
implemented on Exporters. Note that Sampling technique leads to
potential loss of small Flows. With both Sampling and aggregation
techniques, administrators might no longer be able to investigate
very granular traffic change and anomaly detection, both of which can
currently be detected. With Filtering, only a subset of the Flow
Records are exported.
Considering the potential drawbacks of Sampling, Filtering, and Data
Records aggregation, there is a need for a large-scale collecting
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infrastructure that does not rely on data reduction techniques.
4.2. Coping with Multipurpose Traffic Measurement
A set of conditions (flow granularity and data accuracy) may meet the
requirements of some applications, such as traffic engineering, but
may not meet the requirements of other applications, such as
accounting, QoS performance, or even security. Therefore, with a
single set of conditions, multipurpose traffic measurements cannot be
accomplished.
To cope with the issue, an Exporter needs to export traffic data with
strictest condition (fine flow granularity and high data accuracy)
required by the set of applications. However, this implies an
increased load on both the Exporter and Collector.
4.3. Coping with Heterogeneous Environments
Network administrators use IPFIX Devices and PSAMP Devices from
various vendors, various software versions, various device types
(router, switch, or probe) in a single network domain. Even legacy
flow export protocols are still deployed in current network. This
heterogeneous environment leads to differences in Metering Process
capability, Exporting Process capacity (export rate, cache memory,
etc.), and data format. For example, probes and switches cannot
retrieve packet property information from a route table.
To deal with this problem, the collecting infrastructure needs to
absorb the differences. However, equipping all collecting devices
with this absorption function is difficult.
4.4. Summary
In optimizing the resources of a measurement system, it is important
to use traffic data reduction techniques at the possible initial
phase, e.g., at the Exporter. However, this implementation is made
difficult by heterogeneous environment of exporting devices.
This implies that a new Mediation functional block is required in
typical Exporter-Collector architectures. Based on some
applicability examples, the next section shows the limitation of the
typical Exporter-Collector architecture model and the IPFIX Mediation
benefits.
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5. Mediation Applicability Examples
5.1. Adjusting Flow Granularity
The simplest types of Flows are those comprised of packets all having
a fixed IP-quintuple of protocol, source and destination IP
addresses, and source and destination port numbers. However, a
shorter set of Flow Keys, such as a triple, a double, or a single
Flow Key, (for example network prefix, peering AS number, or BGP
Next-Hop fields), creates more aggregated Flow Records. This is
especially useful for measuring traffic exchange in an entire network
domain and for easily adjusting the performance of Exporters and
Collectors.
Implementation analysis:
Implementations for this case depend on where Flow granularity is
adjusted. More suitable implementations use configurable Metering
Processes in Original Exporters. The cache in the Metering
Process can specify its own set of Flow Keys and extra fields.
The Original Exporter thus creates directly aggregated Flow
Records.
In the case where the Original Exporter contains a Metering
Process that creates fixed tuple Flow Records (no possibility to
change the Flow Keys), an IPFIX Concentrator can adjust the Flow
Keys by aggregation Flow Records. Even if the case where the
Original Exporter contains a Metering Process for which the Flow
Keys can be configured, an IPFIX Concentrator can further
aggregate the Flow Records.
5.2. Hierarchical Collecting Infrastructure
The increase of IPFIX Exporters, the increase of the traffic over
large-scale networks, and the variety of treatments expected to be
performed over the Data Records is more and more difficult to handle
within a single Collector. Hence to increase the collecting (e.g.
the bandwidth capacity) and processing capacity must be distributed
over several IPFIX entities. As a possible approach, a hierarchical
structure is useful for increasing the measurement systems capacity,
both in export bandwidth capacity and in collecting capacity.
Implementation analysis:
To cope with the increase of IPFIX Exporters and traffic, one
possible implementation uses IPFIX Concentrators to build a
hierarchical collection system. To cope with the variety of
treatments, one possible implementation uses IPFIX Distributors to
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build a distributed collection system. More specific cases are
described in section 5.9.
5.3. Correlation for Data Records
The correlation amongst Data Records or between Data record and meta
data provides new metrics or information, including the following.
o One-to-one correlation between Data Records
* One way delay and packet arrival interval time etc. One way
delay from the correlation of Packet Reports from different
Exporters along a specific path.
* Treatment from the correlation of Data Records with the same
Flow Key(s) observed at incoming/outgoing interfaces. Examples
are the rate-limiting ratio, the compression ratio, the
optimization ratio, etc.
o Correlation amongst Data Records
Average/maximum/minimum values from correlating multiple Data
Records. Examples are the average/maximum/minimum packets of
Flow, the average/maximum/minimum one way delay, the average/
maximum/minimum packet loss, etc.
o Correlation between Data Record and other meta data
Examples are some BGP attributes associated with Data Record by
looking up routing table.
Implementation analysis:
One possible implementation for the case uses an IPFIX
Concentrator located between the Metering Processes and Exporting
Processes on the Original Exporter, or alternatively a separate
IPFIX Concentrator located between the Original Exporters and
IPFIX Collectors.
5.4. Time Composition
Time composition is defined as the aggregation of consecutive Data
Records with identical Flow Keys. It leads to the same output as
setting a longer active interval timer on Original Exporters with one
advantage: the creation of new metrics such as average, maximum and
minimum values from Flow Records with a shorter time interval enables
administrators to keep track of changes that might have happened
during the time interval.
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Implementation analysis:
One possible implementation for this case uses an IPFIX
Concentrator located between the Metering Processes and Exporting
Processes on the Original Exporter, or alternatively as a separate
IPFIX Concentrator located between the Original Exporters and
IPFIX Collectors.
5.5. Spatial Composition
Spatial composition is defined as the aggregation of Data Records in
a set of Observation Points within an Observation Domain, across
multiple Observation Domains from a single Exporter, or even across
multiple Exporters. The spatial composition is divided into four
types.
o Case 1: Spatial Composition within one Observation Domain
For example, in the case where a link aggregation exists, Data
Records observed at physical interfaces belonging to the same
trunk can be merged.
o Case 2: Spatial Composition across Observation Domains, but within
a single Exporter
For example, in the case where a link aggregation exists, Data
Records observed at physical interfaces belonging to a same trunk
grouping beyond the line interface module can be merged.
o Case 3: Spatial Composition across Exporters
Data Records observed within an administrative domain, such as the
west area and east area of an ISP network, can be merged.
o Case 4: Spatial Composition across administrative domains
Data Records observed across administrative domains, such as
across different customer networks or different ISP networks, can
be merged.
Implementation analysis:
One possible implementation for the case 1 and 2 uses an IPFIX
Concentrator located between the Metering Processes and Exporting
Processes on the Original Exporter. A separate IPFIX Concentrator
located between the Original Exporters and IPFIX Collector is a
valid solution for the case 1, 2, 3, and 4.
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5.6. Data Record Anonymization
IPFIX exports across administrative domains can be used to measure
traffic for wide-area traffic engineering or to analyze Internet
traffic trends, as described in the Spatial Composition across
administrative domains in the previous subsection.
In such case, administrators need to adhere to privacy protection
policies and prevent access to confidential traffic measurements by
other people. Typically, anonymization techniques enables the
provision of traffic data to other people without violating these
policies.
Generally, anonymization modifies a data set to protect the identity
of the people or entities described by the data set from being
disclosed. It also attempts to preserve sets of network traffic
properties useful for a given analysis while ensuring the data cannot
be traced back to the specific networks, hosts, or users generating
the traffic. For example, IP address anonymization is particularly
important for avoiding the identification of the users, hosts, and
routers.
Implementation analysis:
One possible implementation for this case uses an anonymization
function at the Original Exporter. However, this increases the
load on the Original Exporter. A more flexible implementation
uses a separate IPFIX Masquerading Proxy between the Original
Exporter and Collector.
5.7. Data Retention
Data retention refers to the storage of traffic data by service
providers and commercial organizations. Network administrators
should retain both IP and voice traffic data, in wired and wireless
networks, generated by end users while using a service provider's
services. The traffic data is required for the purpose of the
investigation, detection and prosecution of serious crime, if
necessary. Data retention services examples are the following:
o Fixed telephony (includes fixed voice calls, voicemail, and
conference and data calls)
o Mobile telephony (includes mobile voice calls, voicemail,
conference and data calls, SMS, and MMS)
o Internet telephony (includes every multimedia session associated
with IP multimedia services)
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o Internet e-mail
o Internet access
Data retention for Internet access services in particular requires a
measurement system with reliable export and huge storage as the data
must be available for a long period of time, typically a couple of
years.
Implementation analysis:
Regarding export reliability requirement, the most suitable
implementation uses the SCTP transport protocol between the
Original Exporter and Collector. If a unreliable transport
protocol such as UDP is used, a legacy exporting device exports
Data Records to a nearby IPFIX Proxy through UDP, and then an
IPFIX Proxy could reliably export them to the top IPFIX Collector
through SCTP. If a unreliable transport protocol such as UDP is
used and if there is no IPFIX Proxy, the legacy exporting device
must duplicate the exports to several Collectors.
Regarding huge storage requirement, one possible implementation
uses a decentralized set of Collectors. If administrators need to
retrieve specific Data Records, these Collectors would need to be
equipped with IPFIX Mediations.
5.8. IPFIX Export from a Branch Office
Generally, in large enterprise networks, Data Records from branch
offices are gathered in a central office. However, in the long
distance branch office case, the bandwidth for transport IPFIX is
limited. Therefore, even if multiple Flow Records type should be of
interest to the Collector (Flow Records in both directions, Flow
Records before and after WAN optimization techniques, performance
metrics associated with the Flow Records exported on regular
interval), the export bandwidth limitation is an important factor to
pay attention to.
Implementation analysis:
One possible implementation for the case uses an IPFIX
Concentrator located in a branch office. The IPFIX Concentrator
would aggregate and correlate Flow Records to cope with the export
bandwidth limitation.
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5.9. Distributing Data Records
Recently, several networks have shifted towards integrated networks,
such as the pure IP and MPLS, which includes IPv4, IPv6, and VPN
traffic. Data Record types (IPv4, IPv6, MPLS, and VPN) need to be
analyzed separately and from different perspectives for different
organizations. A single Collector handling all Data Record types
might become a bottleneck in the collecting infrastructure. Data
Records distributed based on their respective types can be exported
to the appropriate Collector, resulting in the load distribution
amongst multiple Collectors.
Implementation analysis:
One possible implementation for this case uses the replications of
the IPFIX Message in an Original Exporter for multiple IPFIX
Collectors. Each Collector then extracts the Data Record required
by its own applications. However, the replication increases the
load of the Exporting Process and the waste of the bandwidth
between the Exporter and Collector.
A more sophisticated implementation uses an IPFIX Distributor
located between the Metering Processes and Exporting Processes in
an Original Exporter. The IPFIX Distributor determines
respectively to which Collector a Data Record is exported by
filtering certain field values. If a Original Exporter does not
have IPFIX Distributor capability, it exports Data Records to a
nearby separate IPFIX Distributor, and then the IPFIX Distributor
could distribute them to the appropriate IPFIX Collectors.
For example, in the case of distributing a specific customer's
Data Records, an IPFIX Distributor needs to identify the customer
networks. The Route Distinguisher (RD), ingress interface,
peering AS number, or BGP Next-Hop, or simply the network prefix
may be evaluated to distinguish different customer networks. In
the following figure, the IPFIX Distributor reroutes Data Records
on the basis of the RD value. This system enables each customer's
traffic to be inspected independently.
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.---------.
|Traffic |
.---->|Collector|<==>Customer#A
| |#1 |
| '---------'
RD=100:1
.----------. .-----------. |
|IPFIX | |IPFIX |----' .---------.
|Exporter#1| |Distributor| RD=100:2 |Traffic |
| |------->| |--------->|Collector|<==>Customer#B
| | | | |#2 |
| | | |----. '---------'
'----------' '-----------' |
RD=100:3
| .---------.
| |Traffic |
'---->|Collector|<==>Customer#C
|#3 |
'---------'
Figure A: Distributing Data Records to Collectors using IPFIX
Distributor
5.10. Flow-based Sampling and Selection
Generally, the distribution of the number of packets per Flow seems
to be heavy-tailed. Most types of Flow Records are likely to be
small Flows consisting of a small number of packets. The measurement
system is overwhelmed with a huge amount of these small Flows. If
statistics information of small Flows is exported as merged data by
applying a policy or threshold, the load on the Exporter is reduced.
Furthermore, if the flow distribution is known, exporting only a
subset of the Data Records might be sufficient.
Implementation analysis:
One possible implementation for this case uses an IPFIX
Concentrator located between the Metering Processes and Exporting
Processes on the Original Exporter, or alternatively as a separate
IPFIX Concentrator located between the Original Exporters and
IPFIX Collectors. A set of IPFIX Mediation functions, such as
filtering, selecting and aggregation is used in the IPFIX
Concentrator.
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5.11. Interoperability between Legacy Protocols and IPFIX
During the migration process from a legacy protocol such as NetFlow
[RFC3954] to IPFIX, both NetFlow exporting devices and IPFIX
Exporters are likely to coexist in the same network. Operators need
to continue measuring the traffic data from legacy exporting devices,
even after introducing IPFIX Collectors.
Implementation analysis:
One possible implementation for this case uses an IPFIX Proxy that
converts a legacy protocol to IPFIX.
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6. IPFIX Mediators Implementation Specific Problems
6.1. Loss of Original Exporter Information
Both the Exporter IP address indicated by the source IP address of
the IPFIX Transport Session and the Observation Domain ID included in
the IPFIX Message header are likely to be lost by an IPFIX Mediator
such as IPFIX Concentrator too. In some cases, a IPFIX Masquerading
Proxy might drop the information. In other cases, the Collector must
recognize the Original Exporter (and potentially the Observation
Domain and Observation Point as well) whether Data Records go through
an IPFIX Mediator or not. Note that, if the Mediator can not
communicate the Original Exporter IP address, then the top level
Collector will wrongly deduce that the IP address of the IPFIX
Mediator is that of the Original Exporter.
In the following figure, a Collector can identify two IP addresses:
10.1.1.3 (IPFIX Mediator) and 10.1.1.2 (Exporter#2), respectively.
The Collector, however, needs to somehow recognize both Exporter#1
and Exporter#2, which are the Original Exporters. The IPFIX Mediator
must have a specific way to the Original Exporter IP address to the
IPFIX Collector.
.----------. .--------.
|IPFIX | |IPFIX |
|Exporter#1|--------->|Mediator|---+
| | | | |
'----------' '--------' | .---------.
IP:10.1.1.1 IP:10.1.1.3 '----->|IPFIX |
ODID:10 ODID:0 |Collector|
+----->| |
.----------. | '---------'
|IPFIX | |
|Exporter#2|-----------------------'
| |
'----------'
IP:10.1.1.2
ODID:20
Figure B: Loss of Original Exporter Information.
6.2. Loss of Base Time Information
The Export Time field included in the IPFIX Message header indicates
the base time for Data Records. IPFIX Information Elements,
described in [RFC5102], have delta time fields that indicate the time
difference from the value of the Export Time field. If the Data
Records include any delta time fields and the IPFIX Mediator
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overwrites the Export Time field when sending IPFIX Messages, the
delta time fields become meaningless and, because Collectors cannot
recognize this situation, wrong time values are propagated.
6.3. Transport Sessions Management
Maintaining relationships between the incoming Transport Sessions and
the outgoing ones depends on the Mediator's implementation. If
multiple incoming Transport Sessions are relayed to a single outgoing
Transport Session, and if the IPFIX Mediators shuts down its outgoing
Transport Session, Data Records on other incoming Transport Sessions
would not be relayed at all. In the case of resetting of an incoming
session, the behavior of the IPFIX Mediator needs to be specified.
6.4. Loss of Option Template Information
In some cases, depending on the implementation of the IPFIX
Mediators, the information that is reported by the Option Templates
could also be lost. If, for example, the Sampling rate is not
communicated from the Mediator to the Collector, the Collector would
miscalculate the traffic volume. This might lead to crucial
problems. Even if an IPFIX Mediator was to simply relay received
Option Template Information, the values of its scope fields could
become meaningless in the context of a different Transport Sessions.
The minimal information to be communicated by an IPFIX Mediator must
be specified.
6.5. Template ID Management
The Template ID is unique on the basis of the Transport Session and
Observation Domain ID. If Mediations are not able to manage the
relations amongst the Template IDs and the incoming Transport Session
information, and if the Template ID is used in the Options Template
scope, the Mediators would, for example, relay wrong values in the
scope field and in the Template Withdrawal Message. The Collector
would thus not be able to interpret the Template ID in the Template
Withdrawal Message and in the Options Template scope. As a
consequence, there is a risk that the Collector would then shut down
the IPFIX Transport Session.
For example, an IPFIX Distributor must maintain the state of the
incoming Transport Sessions in order to manage the Template ID on its
outgoing Transport Session correctly. In the following figure, even
if the Transport Session from Exporter re-initializes, the IPFIX
Distributor must manage the association of Template IDs in specific
Transport Session. Typically, when the Exporter#1 Transport Session
re-initialized, the Template ID 256 replaced the previous Template ID
258, while the IPFIX Distributor will keep exporting the Template ID
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256 to the Collector.
.----------. OLD: Template ID 258
|IPFIX | NEW: Template ID 256
|Exporter#1|----+
| | |
'----------' X
.----------. | .-----------. .----------.
|IPFIX | '---------->| | | |
|Exporter#2|--------------->|IPFIX |-------X------>|IPFIX |
| |Template ID 257 |Distributor|Template ID 256| Collector|
'----------' +---------->| | | |
.----------. | '-----------' '----------'
|IPFIX | |
|Exporter#3|----'
| | Template ID 256
'----------'
Figure C: Relaying from Multiple Transport Sessions to Single
Transport Session.
6.6. Consideration for Network Topology
While IPFIX Mediation can be applied anywhere, caution should be
taken as how to aggregate the counters, as there is a potential risk
of double-counting. For example, if three Exporters export Flow
Records related to the same Flow, the one-way delay can be
calculated, while the summing up the number of packets and bytes does
not make sense. Alternatively, if three Exporters export Flow
Records entering an administrative domain, then the sum of the
packets and bytes is a valid operation. Therefore, the possible
function to be applied to Flow Records must take into consideration
the measurement topology. The information such as the network
topology, or at least the Observation Point and measurement
direction, is required on the IPFIX Mediation.
6.7. Exporting the Function Item
In some case, the top IPFIX Collector needs to recognize which
specific function(s) the IPFIX Mediation has executed on the Data
Records. The IPFIX Collector cannot distinguish between Time
Composition, Spatial Composition, and Flow Key aggregation, if the
IPFIX Mediator does not export the applied function. Some parameters
related to the function also would need to be exported. For example,
in case of Time Composition, the active time of original Flow Records
is required to interpret the minimum/maximum counter correctly. In
case of Spatial Composition, spatial area information on which Data
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Records is aggregated is required.
6.8. Consideration for Aggregation
In case of Flow Key aggregation, Time Composition, and Spatial
Composition, there are the following considerations:
o Aggregation rule for non Flow Keys
There are no obvious rules of non Flow Keys. For example, if an
IPFIX Mediation receives two Flow Records with different DSCP
values, and this DSCP field is not a Flow Key, those two Flow
Records can be aggregated based on the Flow Keys value. However,
there is no rules for what the DSCP value should be for the
aggregated Data Record. Potential solutions are: the value of
single of the two DSCP, the value 0 (in this case, the value 0 is
a valid DSCP value), or removing a DSCP field in its Data Record.
o Configured Selection Fraction on aggregation
There is no obvious rules of how to compute Configured Selection
Fraction, and whether a Mediator should report Configured
Selection Fraction, when aggregation resulting from Sampling. For
example, special care must be taken in the following: aggregation
resulting from the different Configured Selection Fraction,
aggregation resulting from different Sampling techniques, such as
Systematic Count-Based Sampling and Random n-out-of-N Sampling
etc.
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7. Summary and Conclusion
This document described the problems that network administrators have
been facing, the applicability of IPFIX Mediation to these problems,
and the problems related to the implementation of IPFIX Mediators.
To assist the operations of the Exporters and Collectors, there are
various IPFIX Mediations from which the administrators may select.
Examples of the applicability of IPFIX Mediation are as follows.
o Regarding large-scale measurement system, IPFIX Concentrators or
IPFIX Distributors help to achieve traffic analysis with high data
accuracy and fine flow granularity even as IP traffic grows. As
IPFIX Mediation capabilities, Flow selection Sampling,
aggregation, and composition are effective.
o Regarding data retention, IPFIX Mediators enhance the export
reliability, and the storage of the measurement system.
o Regarding the distribution of Data Records, IPFIX Distributors
help to achieve multipurpose traffic analysis for different
organizations, or help to achieve respective traffic analysis
based on Data Record types(IPv4, IPv6, MPLS, and VPN).
o Regarding IPFIX Exporting across domains, IPFIX Masquerading
Proxies help administrators to anonymize or filter Flow Records/
Packet Reports, preventing privacy violations.
o Regarding interoperability, IPFIX Proxies provide interoperability
between legacy protocols and IPFIX, even during the migration
period to IPFIX.
As a result, the IPFIX Mediation benefits become apparent. However,
there are still some open issues with the use of IPFIX Mediators.
o Both Observation Point and IPFIX Message header information, such
as the Exporter IP address, Observation Domain ID, and Export Time
field, might be lost. This data should therefore be communicated
between the Original Exporter and Collector via the IPFIX
Mediator.
o IPFIX Mediators are required to manage Transport Sessions,
Template IDs, and Observation Domain IDs. Otherwise, anomalous
IPFIX messages could be created.
o Data advertised by Option Templates from the Original Exporter,
such as the Sampling rate and Sampling algorithm used, might be
lost. If a Collector is not informed of current Sampling rates,
traffic information might become worthless.
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These problems stem from the fact that no standards regarding IPFIX
Mediation have been set. In particular, the minimum set of
information that should be communicated between Original Exporters
and Collectors, the management between different IPFIX Transport
Sessions, and the internal components of IPFIX Mediators should be
standardized.
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8. Security Considerations
A flow-based measurement system must prevent potential security
threats: the disclosure of confidential traffic data, injection of
incorrect data, and unauthorized access to traffic data. These
security threats of the IPFIX protocol are covered by the security
considerations section in [RFC5101] and are still valid for IPFIX
Mediators.
And a measurement system must also prevent following security threats
related to IPFIX Mediation:
o Attacks against IPFIX Mediator
IPFIX Mediators can be considered as a prime target for attacks,
as an alternative to IPFIX Exporters and Collectors. IPFIX
Proxies or Masquerading Proxies need to prevent unauthorized
access or denial-of-service (DoS) attacks from untrusted public
networks.
o Man-in-the-middle attack by untrusted IPFIX Mediator
The Collector-Mediator-Exporter structure model would increase the
risk of the man-in-the-middle attack.
o Configuration on IPFIX Mediation
In the case of IPFIX Distributors and IPFIX Masquerading Proxies,
an accidental misconfiguration and unauthorized access to
configuration data could lead to the crucial problem of disclosure
of confidential traffic data.
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9. IANA Considerations
This document has no actions for IANA.
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10. Acknowledgements
The authors would like to thank Gerhard Muenz, Keisuke Ishibashi and
Nevil Brownlee for providing valuable comments and suggestions.
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11. References
11.1. Normative References
[RFC5101] Claise, B., "Specification of the IP Flow Information
Export (IPFIX) Protocol for the Exchange of IP Traffic
Flow Information", January 2008.
[RFC5476] Claise, B., "Packet Sampling (PSAMP) Protocol
Specifications", March 2009.
11.2. Informative References
[I-D.ietf-ipfix-file]
Trammell, B., Boschi, E., Mark, L., Zseby, T., and A.
Wagner, "Specification of the IPFIX File Format",
draft-ietf-ipfix-file-05 (work in progress) ,
November 2007.
[I-D.ietf-ipfix-mib]
Dietz, T., Claise, B., and A. Kobayashi, "Definitions of
Managed Objects for IP Flow Information Export",
draft-ietf-ipfix-mib-06 (work in progress) , March 2009.
[I-D.ietf-psamp-mib]
Dietz, T. and B. Claise, "Definitions of Managed Objects
for Packet Sampling", draft-ietf-psamp-mib-06 (work in
progress) , June 2006.
[RFC3917] Quittek, J., Zseby, T., Claise, B., and S. Zander,
"Requirements for IP Flow Information Export(IPFIX)",
October 2004.
[RFC3954] Claise, B., "Cisco Systems NetFlow Services Export Version
9", October 2004.
[RFC5102] Quittek, J., Bryant, S., Claise, B., Aitken, P., and J.
Meyer, "Information Model for IP Flow Information Export",
January 2008.
[RFC5470] Sadasivan, G., Brownlee, N., Claise, B., and J. Quittek,
"Architecture for IP Flow Information Export", March 2009.
[RFC5472] Zseby, T., Boschi, E., Brownlee, N., and B. Claise, "IP
Flow Information Export (IPFIX) Applicability",
March 2009.
[RFC5474] Duffield, N., "A Framework for Packet Selection and
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Reporting", March 2009.
[RFC5475] Zseby, T., Molina, M., Duffield, N., Niccolini, S., and F.
Raspall, "Sampling and Filtering Techniques for IP Packet
Selection", March 2009.
[RFC5477] Dietz, T., Claise, B., Aitken, P., Dressler, F., and G.
Carle, "Information Model for Packet Sampling Exports",
March 2009.
[TRAFGRW] Cho, K., Fukuda, K., Esaki, H., and A. Kato, "The Impact
and Implications of the Growth in Residential User-to-User
Traffic", SIGCOMM2006, pp. 207-218, Pisa, Italy, September
2006. .
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Authors' Addresses
Atsushi Kobayashi
NTT Information Sharing Platform Laboratories
3-9-11 Midori-cho
Musashino-shi, Tokyo 180-8585
Japan
Phone: +81-422-59-3978
Email: akoba@nttv6.net
URI: http://www3.plala.or.jp/akoba/
Benoit Claise
Cisco Systems, Inc.
De Kleetlaan 6a b1
Diegem 1831
Belgium
Phone: +32 2 704 5622
Email: bclaise@cisco.com
Haruhiko Nishida
NTT Information Sharing Platform Laboratories
3-9-11 Midori-cho
Musashino-shi, Tokyo 180-8585
Japan
Phone: +81-422-59-3978
Email: nishida.haruhiko@lab.ntt.co.jp
Christoph Sommer
University of Erlangen-Nuremberg
Department of Computer Science 7
Martensstr. 3
Erlangen 91058
Germany
Phone: +49 9131 85-27993
Email: christoph.sommer@informatik.uni-erlangen.de
URI: http://www7.informatik.uni-erlangen.de/~sommer/
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Falko Dressler
University of Erlangen-Nuremberg
Department of Computer Science 7
Martensstr. 3
Erlangen 91058
Germany
Phone: +49 9131 85-27914
Email: dressler@informatik.uni-erlangen.de
URI: http://www7.informatik.uni-erlangen.de/~dressler/
Stephan Emile
France Telecom
2 avenue Pierre Marzin
Lannion, F-22307
Fax: +33 2 96 05 18 52
Email: emile.stephan@orange-ftgroup.com
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